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DTSTAMP:20190321T173822Z
SUMMARY:Data Science: Tomas Petricek
LOCATION:Intellectual Hub
DESCRIPTION:Abstract: \nGovernments and journalists publish increasing amounts of raw data, but at the same time, "post-truth" has been chosen as the word of the year 2016 and the general public increasingly distrusts statistics. In other words, data science has new capabilities to help us understand the world, yet it is becoming less relevant in public discussion. The goal of TheGamma project [1] is to reverse this trend and make open data accessible and relevant to wider audience. Our tools allow journalists to create transparent data-driven articles where each visualization is backed by a simple code snippet. The source code makes the visualization reproducible, but it also encourages readers to modify parameters and explore other aspects of the data. In this talk, I will show a number of innovative data visualizations that we built using TheGamma including a visualization looking at Olympic medals [2], UK government expenditure [3] and events affecting Brexit and the financial crisis [4]. I will show how to use TheGamma for creating your own transparent and reproducible visualizations, but also discuss the more general idea behind the project - how to make data visualizations more trustworthy, reproducible and engaging. [1] http://thegamma.net[2] http://rio2016.thegamma.net/[3] http://gamma.turing.ac.uk/expenditure/[4] http://gamma.turing.ac.uk/markets/ Short bio Tomas Petricek's research interests span a range of areas including theory of programming languages, history and philosophy of programming, as well as open data and data journalism. He is a Lecturer at the University of Kent working on tools making data science more accessible and transparent (http://thegamma.net). Previously, he contributed to functional programming and the development of the F# language and type providers at Microsoft Research and obtained PhD from University of Cambridge for his work on coeffects (http://tomasp.net/coeffects), a theory of context-aware programming languages. Along the way, he became interested in understanding programming through the perspective of history and philosophy of science and wrote papers about the evolution of programming concepts such as types and errors. You can find more about Tomas at http://tomasp.net. \n\n
DTSTART:20180509T140000Z
DTEND:20180509T143000Z
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